Engineer Software Developer

SHRIMANGAL REWAGAD

adcqfj@r.postjobfree.com +1-480-***-**** https://www.linkedin.com/in/shrimangal-rewagad-asu-ms-cs/ SUMMARY

Software developer, having more than 2 years of experience in the software industry under various Software Development and Management platforms, which included working and interacting with diverse clients & product owners around the globe. Currently looking for Software Testing, Automation Engineer and Software Development positions through a 2020 Summer Internship. EDUCATION

Master of Science – Computer Science – May 2021

Arizona State University, Arizona, USA. 3.89/4.0 GPA Bachelor of Engineering – Computer Science Engineering – May 2017 University of Mumbai, Mumbai, India. 3.8/4.0 GPA

TECHNICAL SKILLS

Programming : Python, Java, C, C++, R, JavaScript, Springboot, RESTful, Node.js, SAP ABAP, Azure, Android, iOS, MySQL, Tableau, Matlab. Tools worked on : Jenkins, GIT, CloudBees, TestNG, Junit, Selenuim, Tortoise SVN, Kubernetes, HP-UFT, HP ALM, Apache Tomcat, Splunk. Methodologies : DevOps, Agile ( Jira ), Kanban.

APIs worked on: Node.js, RESTful – Semantic Versioning(Python), Java WebDynPro. Libraries used : PyTorch, scikit, numpy, Tensorflow, OpenCV, Keras, Stanford CoreNLP, TextBlob, Phabricator, Jenkins. Certifications : Sun Certified Java Professional (Se6) (Oracle), Certified Python Programmer (IIT Bombay). PROFESSIONAL EXPERIENCE

Software Engineer (Business Intelligence Automation Engineer) – Tata Consultancy Services – Mumbai, India – June 2017 – July 2019

• Software tester for individual Supply Chain management tool for Bose® in the region of Europe and Singapore - using Jenkins to test development codes uploaded on GIT and creating test cases on TestNG in Selenium while deploying on the production server using Kubernetes and monitoring the changes using Splunk.

• Managed a project consisting a scrum team of 7 innovative thinkers to develop Hasbro, Inc website using D3.js, HTML5, CSS, and javascript while working with the Quality Analysis team to deliver Zero-Defect implementation of modules by using CloudBees in Jenkins to Automate test scripts and feeding the process into HP ALM for defect management achieving 90% pipeline automation.

• Developed a proposal to model IGNIOTM tool in Python to automatically analyze customer feedback and detect the abnormalities in the software for the Passport Office of INDIA using Natural Language Processing; reducing 67% customer complaints. Application Developer – Uber – Bengaluru, India – November 2016 – May 2017

• Strategically planned and trained SVM model using Tornado with python to compare with the in-house Argos system; which detects the anomaly in various road conditions based on the Argos smart thresholding; achieving an accuracy of 81%.

• Collected training data of conditions on various types of roads to scale the harshness of the road in practical usage.

• Worked across all functional areas of the Android application using Phabricator in Jenkins to resolve the functional bugs. ACADEMIC PROJECTS

Diabetes monitoring tool at real-time basis – July 2019 – September 2019

• Developed an Android application that used Continuous Glucose Monitoring sensors to know the real-time value of sugar level of the patient statistically and compare it with the threshold set according to their schedule and insulin capability levels.

• Used machine learning technique of Fourier transform and logistic regression to predict timestamp feature values using Matlab to regulate the insulin levels in the body using the dynamic bolus-basal injector using assistive neural network.

• Statistically modeled a prediction to check if the patient can go in the hypoglycaemic state of coma by performing Data Mining. Question Paper Generator and Answer Verifier – May 2015 – April 2017

• Generated adaptive question sets for students to test the ability to understand and answer questions theoretically.

• Used Mercenary and TextBlob to implement Software Engineering using Stanford NLP (Natural Language Processing) along with neural networks to verify the accuracy of the answers with an accuracy of 89.45%; which was within the error margin of 15%.

• Published and headed a technical paper in IEEE Xplore Digital Library with INSPEC Accession Number: 17859383. Car-O-Copter RC Challenger – December 2016 – June 2017

• Organized and headed Car-O-Copter technical collaborative project held by the University of Mumbai using Embedded Systems to analyze the hurdles using 360 camera sensors, Accelerometer and Gyroscope sensors.

• Used Computer Vision to greyscale the latest image and power to the motors, Raspberry-pi and Arduino-Duo in C++ language.

• The Quad-Copter used the hurdle sensing mechanism along with an alternate remote control option; whereas, the Car mode was built purely on radio control functionality.

ACTIVITIES

• International Youth Speaker at Model United Nations – Maharashtra, Mumbai, India representative.

Contact this candidate